Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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AHP-Based Determination of Warning Grade in a Warranty Claims

AHP-기반으로 보증클레임의 위험등급 결정

  • Na, Choon-Soo (Dept of Digital Management and Information Graduate School, Nambu University) ;
  • Jung, Byeong-Soo (Dept of Digital Management and Information Graduate School, Nambu University)
  • 나춘수 (남부대학교 디지털경영정보학과) ;
  • 정병수 (남부대학교 디지털경영정보학과)
  • Received : 2010.11.08
  • Accepted : 2010.12.17
  • Published : 2010.12.31
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Abstract

Two perspectives on developing better decision capabilities for a warranty system can be identified: one involving the inclusion of a 'learning' module and the other the inclusion of a 'prioritization' capability. This paper demonstrates how a warning process can be included in a warranty system by coupling with a neural network's learning capabilities. In addition to the neural network, a method is employed for assigning priorities to warning criteria by using the analytic hierarchy process (AHP). Thus, it is possible to construct an integrated system with three components: the warranty system, the AHP module, and the neural network system. A case study is provided to enhance the accuracy of warning/detection judgment in a warranty system for automobile companies, having many factors related to the warranty system.

보증 시스템의 '학습'모듈과 '우선순위' 등을 포함된 두 가지 기능을 이용하여 의사결정시스템을 개발을 할 수 있다. 본 논문은 품질보증 시스템과 신경망 학습기능을 이용한 위험분석 방법을 보여준다. 분석 방법은 신경 네트워크뿐만 아니라, 계층 분석방법을 사용하여 경고 기준에 우선순위를 할당을 위해 적용되었다. 따라서 보증 시스템, AHP 모듈 및 신경 네트워크 시스템의 세 가지 구성 요소와 함께 통합 시스템 구축을 가능하게 한다. 사례 연구에 제공되는 자동차 회사에서 사용되는 보증 시스템 내에 많은 요인을 이용해 정확한 판단의 "경고 / 검출"을 향상시키고자 한다.

Keywords

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